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Basic Power BI for Data Analysis & Reporting1 hour agoOffice Productivity
[100% OFF] Basic Power BI for Data Analysis & Reporting

Learn Power BI reports, dashboards, DAX basics, data visualization, Query Editor, and business reporting workflows

Star4.5
Users337 students
Clock5h total length
English
$0$17.99100% OFF

Course Description

Looking to build practical Power BI reporting and dashboarding skills for real-world business environments?

This beginner-friendly Power BI training program is designed to help you learn how to create reports, dashboards, visualizations, DAX calculations, and interactive business reporting workflows using Microsoft Power BI.

Whether you are an Excel user transitioning to Power BI, an aspiring data analyst, an MIS professional, a reporting executive, or someone interested in business intelligence and dashboarding, this course is designed to help you develop practical reporting and analytical skills step-by-step.

Unlike overly technical Power BI programs that focus heavily on advanced architecture or enterprise concepts, this course takes a highly practical and visualization-focused approach to learning Power BI.

You’ll learn how to:

  • Create reports in Power BI Desktop

  • Build interactive dashboards

  • Work with tables and matrix visuals

  • Create charts and visualizations

  • Apply filters and slicers

  • Use DAX formulas and measures

  • Work with relationships

  • Transform data using Query Editor

  • Publish reports to Power BI Service

  • Connect Power BI with Excel

  • The course begins with a structured introduction to Microsoft Power BI and the Power BI Desktop interface.

    You’ll gradually learn how to create professional reports using:

    • Tables

  • Matrix visuals

  • Aggregations

  • Card visuals

  • Slicers

  • Visual filters

  • Formatting tools

  • As the course progresses, you’ll build a strong foundation in Power BI charts and data visualization techniques.

    You’ll work with:

    • Clustered column charts

  • Stacked charts

  • Trend analysis graphs

  • Area charts

  • Ribbon charts

  • Pie charts

  • Treemap charts

  • Map charts

  • Scatter charts

  • Bubble charts

  • Decomposition tree visuals

  • The course also focuses heavily on interactive dashboards and reporting workflows.

    You’ll learn how to:

    • Create interactive reports

  • Publish reports to Power BI Service

  • Build dashboards from reports

  • Apply themes

  • Use custom visuals

  • Improve dashboard usability

  • Monitor business metrics visually

  • In addition, the course introduces practical DAX concepts used in Power BI reporting.

    You’ll learn:

    • Calculated columns

  • DAX measures

  • SUM

  • AVERAGE

  • MIN

  • MAX

  • filter functions

  • FORMAT function

  • DAX date functions like YEAR and MONTH

  • The course also covers Power BI relationships and data modeling basics.

    You’ll learn:

    • Relationship concepts

  • Filtering workflows across tables

  • Relationship-based DAX functions

  • Practical reporting relationships

  • You’ll also learn how to prepare and transform data efficiently using Power Query Editor in Power BI.

    The course covers:

    • Query Editor basics

  • Data transformation techniques

  • Group-by transformations

  • Practical data preparation workflows for reporting and analysis

  • Additionally, this program also includes practical Excel integration workflows.

    You’ll learn how to:

    • Connect Power BI with Excel

  • Create pivot tables from Power BI data

  • Export Power BI data to Excel tables

  • Improve reporting workflows between Excel and Power BI

  • Throughout the course, the focus remains highly practical and beginner-friendly.

    You’ll work through hands-on reporting exercises, dashboard-building workflows, visualization examples, and DAX practice scenarios throughout the course. These practical business reporting concepts are designed to help you develop real-world Power BI reporting and analytical skills.

    Whether you are a beginner learning Power BI, an Excel user transitioning to Power BI, or an aspiring data analyst, this course helps build practical reporting and dashboarding skills.

    It is also suitable for MIS professionals, business users, and working professionals looking to strengthen business intelligence and analytical capabilities.

    By the End of This Course, You Will Be Able To

    • Create professional Power BI reports and dashboards confidently

  • Build interactive reporting and visualization workflows

  • Apply DAX calculations and measures in practical reporting scenarios

  • Use filters, slicers, and visual interactions effectively

  • Work with Power Query Editor for data preparation and transformation

  • Build business-focused charts and analytical visualizations

  • Publish reports and dashboards to Power BI Service

  • Connect Excel and Power BI for reporting and analysis workflows

  • What Makes This Course Different

    • Covers visualization, interactivity, DAX, relationships, and Query Editor in one program

  • Beginner-friendly and highly practical learning approach

  • Strong focus on dashboards, reporting, and visualization workflows

  • Covers both reporting fundamentals and DAX basics

  • Includes practical Power BI Service and Excel integration workflows

  • Emphasizes real-world business reporting use cases

  • Ensures structured step-by-step progression for easier learning

  • About the Course Director

    The course structure and learning approach have been designed under the guidance of Dheeraj Vaidya — CFA, FRM charterholder, Co-Founder of WallStreetMojo and ExcelMojo, and alumnus of IIT and IIM.

    Over the years, he has helped train thousands of learners worldwide through structured, practical, and industry-focused online training programs.

    As the Course Director, he oversaw the course structure, curriculum design, and overall learning flow of the program. His focus was to ensure the course remains practical, structured, and beginner-friendly with strong real-world business reporting relevance.

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